{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用对应阶数的历史时点负荷构建预测特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "# 以下 font.family 设置仅适用于 Mac系统，其它系统请使用对应字体名称\n",
    "matplotlib.rcParams['font.family'] = 'Arial Unicode MS'\n",
    "import pandas as pd\n",
    "p = pd.read_csv(\"data/p.csv\")\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2)\n",
    "ax0, ax1, ax2, ax3 = axes.flatten()\n",
    "plot_pacf(p.C010,ax=ax0,title=\"Partial Autocorelation of C010\")\n",
    "plot_pacf(p.C040,ax=ax1,title=\"Partial Autocorelation of C040\")\n",
    "plot_pacf(p.C060,ax=ax2,title=\"Partial Autocorelation of C060\")\n",
    "plot_pacf(p.C080,ax=ax3,title=\"Partial Autocorelation of C080\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们从整理的时点负荷数据与对应日期的天气数据出发，通过计算两两指标的相关系数，我们得到相关性热力图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x121d549d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as pl\n",
    "cols = p.columns[[x.startswith('C') for x in p.columns]]\n",
    "temps = ['MEAN_TMP','MIN_TMP','MAX_TMP']\n",
    "t0 = pd.DataFrame([[p[t].corr(p[x]) for x in temps] for t in cols])\n",
    "t0.columns = temps\n",
    "t0.index = cols\n",
    "plt.figure(figsize=(5,10))\n",
    "sns.heatmap(t0, linewidths = 0.05, vmax=1, vmin=0, cmap='rainbow') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "选择不同的气象因素，用于建立预测模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, '$samples$')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "plt.figure(figsize=(10,5))\n",
    "\n",
    "def scale(x):\n",
    "    return (x - np.mean(x))/np.std(x)\n",
    "\n",
    "plt.plot(range(p.shape[0]),scale(p.C010.values),'o-',c='black',label=\"C010\")\n",
    "plt.plot(range(p.shape[0]),scale(p.MEAN_TMP.values),'o--',c='gray',label=\"Mean Temperature\")\n",
    "plt.legend()\n",
    "plt.ylabel(\"$scale \\quad value$\")\n",
    "plt.xlabel(\"$samples$\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "工作日类型主要指周一到周日的这七天，一般来说周一到周五与周末的用电规律具有明显的区别，另外，周一和周五由于邻近周末，一般也会表现得与周二到周四的用电规律不一样。这里我们选择第40、60个时点，按周一到周日的顺序绘制每种工作日类型的平均负荷水平，得到二维图表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1220e2bd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JvPrqq8THx1faMg0PDyc3NxdVxc/PeaFgYGAgQUFBBAYGcscdd/DYY4+Rn59Pv3793NODgoIICgpi4sSJTJw4kWPHjnHLLbdUWDcoKIjx48eTnJzMkSNHmD17doV1AwMDGTFiBD179uTYsWOkpKRUWDcwMJAePXoQHR1NXl4ee/fuJSgoiIULF/Lggw9SUFDgPg67eKPpaKgd0sdw9jfkAS2BIydNK1c+3YOqzgHmgPNqJW93PmHChFr7xx0SEkKvXr08Tjl07dqV7OxsfvjhB3dwZGRk0LFjRwDS0tIYN24cAH5+fiQkJJCYmMjMmTPp378/x44d4/jx48TGxuLv71/l/r0JutLSUve2Zs+ezfr1692nhLKysrjssstYsGABfn5+FBQUcM455zB+/Hi6devmfoHz/P6rr75a499dQyYiOBwOHA4HXbp0qTDvkUceqXK9qvq0Tj5d9thjj1FcXMyJEyfcf/br1889v1+/fu7p5cuUnzI7ceIEW7durbBucXEx55xzDsnJyRw6dIgZM2Z47P+VV16hZ8+e/PDDD1x11VUe8//5z39yzTXXsG7dOpKTk6s8vvz8fKZPn27h0MT5suXwVyBdVd8SkUdw9jHMBtKBC3D2TaQBF6vqwVNt19tLWRuKvLw80tPT3aFR/ucbb7xBnz59eOONN7j55psJCgqiS5cu7n6Ne++9l3bt2lFUVMQHH3xQ5WW5iYmJFT78MzIyaN26NRs2bABg2LBh7Ny5k27durm//ffv35+hQ4f66lfSJFTVcoiLi2PXrl31UoOqeoRPREQE4eHh5Ofns337do/5vXr1on379hw4cIAVK1ZQXFzMjTfeWOn2RYSysrJ6ORZTd07Vcqi3PgdXCMXzc59DG2ARsBL4NxDumj4G+AJYC9xane162+fQWGzfvl1feeUVvf/++/WKK67QXr16aXBwsB48eFBVVWfMmOHR31H+iouL06uvvloBjYiI0AEDBuh1112nTz31lHv7xcXFvjq0Ju1M+rQaqri4uCr/fZnGj1P0OdRrONTVq6mGQ2VKSkrcHZmfffZZpf9xARUR3blzp/7444+NpuOzKWkqnbiVBV1wcHCjPR5T0anCoVneId2UNIRTGKZpO7lPC2DgwIGsW7fOx1WZ2nCq00rNdmylpmLmzJmEhYVVmBYWFsbMmTN9VJFpaiZMmMCuXbsoKyvjnnvuYcOGDezdu9fXZZk6dtpwEJExItKxPoox3pswYQJz5swhLi4OESEuLs4uMzR15o477kBVeeGFF3xdiqljpz2tJCKvAP2AdsBW4Bvga9ef36lqaV0XeTrN+bSSMfVt/PjxrFu3jt27d5/yEmvT8NXoPgdVvcW1kYeBTsAO4Fc47zE4CsTUXqnGmIbub3/7G5GRkRYMTZw3N8Fdrap9yt+IyN+B+2q/JGNMQxYfH+/+WVVtFNwmypsO6WwRGVD+RlU3AF1rvyRjTEO3Y8cOBg0axPLly31diqkj3oTD74G3ROQNEblDRF4GiuuoLmNMA9axY0d27tzJs88+6+tSTB2pdjioagbQH/gEZ+f0Fpx3MxtjmpmQkBBuvfVWFi5cyPbt231djqkD1Q4HEYnC2XoIBxYAL6tqpYPiGWOavilTpuDv78/zzz/v61JMHfDmtNJ8IBr4X+AvQJaIbK2TqowxDV7Hjh256qqreP311ys8IMs0Dd5crRSpqo+KyK9VdbiIjAf6nHYtY0yTdf/99zNixAh7zGoT5E04FLr+LBKRUFX9UETuA/5cB3UZYxqBvn370rdvX1+XYeqAN6eV/ioirXEOr/26iNyJ82E8xphmrKioiOeff55Vq1b5uhRTi6rdclDVD10//k1Efgf0Bn5dJ1UZYxoNPz8/nnjiCc455xyGDx/u63JMLfHmaqXWIvKY6/6G1sATqvpd3ZVmjGkMAgMDmTp1KkuXLmXLli2+LsfUEm9OK70H5OC8jDUMWCMi59VJVcaYRmXy5MkEBwcze/ZsX5diaok34RCtqk+r6kJVfQIYCzxXR3UZYxqR6OhoJkyYwFtvvcWxY8d8XY6pBd6Ew1ER6V3+RlV34GxBGGMM06ZNo1+/fhw8eNDXpZha4M2lrLcDH4hIKpAO9ATsvnljDAB9+vRhzZo1vi7D1BJvxlbainNspRVAW5wP+7m2juoyxjRSBw8etI7pJuC0LQcReQfYiOsJcKr679rauYj4Aa8A3XEG1RTgOPCaq7YtwO0N4WlzxpjTU1WGDx9O+/btWblypa/LMTVQnZbDG4ACvwOWich2EVkoIjNF5Koa7v+/gBaqOhh4BJgJPAU8qarDXfWNq+E+jDH1RESYNGkSq1at4uuvv/Z1OaYGThsOqrpcVZ9R1ZtUtR/QDXgI57f6gTXc/wkg3NWCiAQ2A4OAZa75i4GhNdyHMaYe/f73vycsLIznnrOLGRszb65WAkBVS1Q1XVXfVdX7a7j/VKAFsBXnM6m/AwJVVV3zc4GoylYUkckikiYiaZmZmTUswxhTW1q1asWNN97IP/7xD+z/ZuPldTjUsvuBL1S1K9AXeBIIlZ8fStsSqPSZEao6R1WTVDUpOjq6fqptoNLT05k1axYzZsxg1qxZpKen+7ok08zdeeedFBcXk5KS4utSzBny5lLWuhAOHHD9fATIwnm6ahiwCrgU+Ng3pTUO6enpLFiwgOJi5xNbs7KyWLBgAQC9e/c+1arG1JkePXqwb98+OnTo4OtSzBnydTj8BXhDRC531XI/zn6HV0Wk/GolC4cq5ObmsmTJEncwlCv/xta+fXt27NhBQECA++Xv709CQgLBwcHk5uaSk5NTYX5AQAAhISH83HirX+np6aSkpJCVlYXD4SA5OdlCrpEqD4YTJ04QFBTk42qMt3waDqp6DLiiklkX1XctDYWqoqr4+fmRm5vL1q1bycrKIjs7m+zsbLKyshg7diwJCQns3buX/Pz8SreTlZXF3r17WbJkice8qVOnEh0dzebNm/n000895v/3f/83DoeDNWvWkJqair+/f4XwuPnmmwkJCWHDhg1s3brVHTrlf1566aX4+fmxbds2Dhw4UCGYAgMD3R/2hw4doqCgwD1/+/btrFixgpKSEvcxWCuocbvrrrtYv349X3zxha9LMV7ydcuh2SkqKkJVCQkJIT8/n3Xr1rk/+Ms//C+55BL69+9PdnY2ixYtQkRo0aIFLVq0oGPHju5vYfHx8URERJCbm+uxH4fDQZ8+fejevTslJSWUlJRQWlpKSUkJrVq1AqBbt260bNnSPb98mdDQUMD5za9///4e6/v7+wNQUlJCfn6+e3r5MpdddhkAW7ZsYePGjRXqCgoKcn/Qp6amsnnz5lP+voqLi5k/fz5r1qwhJCSE1q1bc/nllwOwYcMG8vLyCA4Odr8iIyOJiYkBqBA89d0SshaQ09lnn81zzz3HunXrGDRokK/LMV6Qny8MarySkpI0LS3N12VQXFxMdnY2fn5+tGrViuLiYpYsWeL+0M/OzqaoqIjhw4czYsQIcnNz+dvf/kZERAQOh8MdAL169aJz586UlpaSl5dHREQEfn6VXzvwyz4HcA6hPHbsWJ9/GKkqZWVlHuHTunVrADIzM8nJyXHPe//996vcVvfu3SkqKiI8PJzx48cD8MYbb7Bnz54Ky8XExPD73/8egBdffJFDhw4hIgQHBxMSEsJZZ53F2LFjAViyZAklJSUVwqVt27YkJCQAuFs9ISEhBAcHVztkGvLfSX3LyckhJiaGSy+9lH/84x++Lsf8gohsUNWkyuY125aDt9/sSkpKyMnJITs7G39/f/e30/fff5+jR4+SlZVFQUEBAP369WPcuHEEBATwww8/EB4eTuvWrYmPj8fhcBAXFwdAeHg4f/zjH93fxH/J39+fFi1anPI4ymtuiN9SRQR/f3/8/f0JDg72mB8dHc3JV5o5HA6ysrI8lnM4HFx99dUe0ydOnEhpaSlFRUXu18kf3oMHDyYnJ4eioiIKCws5ceKEu9UEsG/fPo4fP05RUZH7VFbv3r3d4fD6669X+ID38/MjKSmJ0aNHo6q8+eabFYIlODiYs846i5SUlEr7gZYuXUpCQgIRERGUlpaSk5ODv78/fn5+7j8DAgKq/CLgKzVpBUVGRnLzzTfz/PPP85e//IVOnTrVcbWmtjTLlkNl3+wCAgK48MILiY6ORkTo1asXAP/617/Yu3cveXl57mW7dOnC9ddfD+D+NtSiRQv3t/927drRvn372ji0ZsWX37jLQwYgLMw52HBGRkaF4CksLKRjx4706NGDkpIS5s6dW2F+UVERF1xwAampqVXuJzk5mSFDhnDs2LFKbxIbPXo05513HgcPHuTVV191B0d5eIwaNYqePXty4MABPv744wrB4u/vz/Dhw+ncuTMHDhzgiy++8JiflJREmzZtyMzMZMuWLR7h1KNHD8LDwzl27Bg//fQTe/fuZf369ZSW/jyCjbd/Jzt27ODss8/m4Ycf5vHHH/fmr8XUsRq3HFx3MD+oqv9bq5X5SGXf7EpKSli9ejXg/EZbHg6tWrUiNDS0wod/+WkRgOuuu67+Cm/ifNkK8vf3d4dCua5du1a5fEBAADfeeKPHdFVl06ZNlbaAwsLC6NGjh/vncePGUVZWRmlpKaWlpZSVldG5c2cAQkNDGThwoHt+WVkZZWVlREZGAs5WTERERIX5xcXF7g/xwsJC9u3b57H97t2706ZNGw4ePMiKFSs8auzQoQPh4eHs2LGDhQsXVnrs5VfDVffv5ayzzmLu3LlcdFGzvc6kUap2y0FEvlDVC+u4njPibcthxowZVc6bMmUKLVq0ICQkpDZKM81QY+hzKO8PKg+N8j/DwsLw9/enoKCArKwsXn755Sq38cgjj9RjxaYunKrl4M3JzU0i8oirFdGoORyOKqe3bdvWgsHUSO/evRk7dqz735nD4WhQwQA/9wcFBQUREhJCeHg4kZGR7v6v0NBQ2rdvf8r/K95atmwZkyZNoimcym4OvOmQbg0MB6aIyDpgE7BJVau+xKSBSk5OrvSbXXJysg+rMk1J7969G1QYnKnK/q+ICL/61a+83tbOnTt57bXXuOGGGxg2bFhtlmnqgDcP+/mtqvYA4oAZwA84R1BtdBrDNztjGoJf/l8JCwtDVcnJyfF6WxMmTKB169Y8++yztV2mqQPe9DkkAg8CBap6R51W5aWGcp+DMc3Be++9x44dO7jjjjtOe6n1Lz300EM8/fTTbN++nfj4+Lop0FRbbfU5vAN8gHNQPETkHBF5uxbqM8Y0IqNGjUJVWbp0qdfrTp06FRHhhRdeqIPKTG3yJhz8VPUToBRAVTcD59RJVcaYBqtVq1YMGTKEb7/9lv3793u1bufOnfnDH/5Az54966g6U1u86ZDeLyIJOB8ZiuuZC6F1UpUxpkEbPHgwHTp0OKMhuZ9++uk6qMjUNm9aDv8NvAK0F5GJwHs4h9c2xjQzAQEBdO3aFRHxuKG0OvLz85k7d65d1tqAeRMOB4BLgGnAWTgfxvO7uijKGNM4fPvttzz77LNeX700b948rr/+ej777LM6qszUlDfh8BXwFPC1qv5JVf+uqoV1VJcxphHo0KEDhYWFXndOX3XVVbRr184ua23AvAmHvsBK4BkRWSQil4mvHhdmjGkQWrduzeDBg9m8eTO7du2q9nrBwcHcdtttLF68mIyMjLor0Jwxb8KhJfAtzhvg5gFPAzvqoihjTOMxZMgQHA4HixcvrjB66+ncdtttBAYGMnv27Dqszpwpb8LhMM57HX4LdATmAI/VRVHGmMYjMDCQSy65hMzMTHbv3l3t9dq3b88111zDd999Zx3TDZA3d0j3B+4E2gOvAvNVtawOa6s2u0PaGN9SVY4ePUpUVJRX6xUUFLgfS2vqX63cIa2q/1HVicD1wNnAahF5uJZqNMY0YiLiDoajR49We73yYDh69KhXp6RM3at2OIjIKhFJA1KBG3H2QfympgWIyH0ikioi34jIJBGJF5EU1/5eEpHKn6FpjGlwtmzZwuzZs706vbRhwwZiYmJYtGhRHVZmvOVNn8MNQDLQS1V7quo5qtq/JjsXkYHAUJxDgQ8FEnBeLvukqg531TeuJmKd8PQAABVbSURBVPswxtSfs88+2905XVZWvbPO5557LlFRUZU+NtX4jjfhkAPcC7wkIneJSKvTrVANlwJbgf876TUIWOaavxhnaBhjGoHAwEBGjRrFoUOHWL9+fbXXuf3220lJSWHzZht0oaHwJhzewxkQC4AwYI2InFfD/XcABgJXAbcB7wKB+nMveS5QaQ+XiEwWkTQRScvMzKxhGcaY2tK9e3e6dOnCihUryM3NrdY6t9xyC6GhodZ6aEC8CYdoVX1aVReq6hPAWKCmf5OFwGJVLVLVDJxh0PKkm+taAkcqW1FV56hqkqomRUdH17AMY0xtERFGjx6Nn58fP/30U7XWiYqK4vrrr2fu3Lln9CAhU/u8CYejIuJ+VJqq7sDZgqiJL4GRIuInIh2ACGAJrmdG4DztlFrDfRhj6llUVBR33303iYmJ1V5n+vTppKWlERkZWYeVmeryZsju24EPRCQVSAd6AdtruP9/AwOAL1zvpwC7gFdFJADYAnxcw30YY3wgMDAQVSUjI4PExET8/E79XTQuLq6eKjPV4c19DluB/sAKIBr4Gri2JjtX1TJVvU9Vz3e9lqvqDlW9SFWHqeqtqmoXPxvTSO3cuZP33nuP6t6kevToUa666irmzZtXx5WZ0/HmPofRwGrgcZyths02Kqsx5lQSEhJISEhg+fLl5OXlnXZ5h8PBf/7zH5555pl6qM6cijd9Dn8H7sF5qenLwF9EpEYtB2NM01beOV1cXMyyZctOu7y/vz933nkna9as4T//+U89VGiq4k04HFLVz1X1mKqmAKOA6XVUlzGmiYiOjub888/n66+/Zu/evaddfuLEiURERNizHnzMm3DYKSKPi0iQ630xUFIHNRljmphhw4YRExPDiRMnTrusw+Hgpptu4r333uPgwYP1UJ2pjDdXK5UBVwK3iMg2IBaYJyKJqrqtTqozxjQJwcHB3HzzzVT3+WDTpk3D4XAQEODNR5SpTdUestu9gkgwcA7Q56TXWaoaW/vlVY8N2W1M41BSUsK6devo27cv4eHhvi6n2TvVkN1ex7KqFgEbXC9jjKm2Y8eOsXz5co4cOcK4caceU7OsrIyFCxcSFhbGyJEj66lCU86bPgdjjKmR6OhozjvvPDZu3MiPP/54ymVFhAceeICHHnrInhTnAxYOxph6NWLECCIiIk47rLeIMG3aNNLS0vjyyy/rsUIDFg7GmHoWHBzMxRdfzP79+9m4ceMpl73hhhtwOBx2WasPWDgYY+pd7969GThwIO3btz/lcuHh4UyaNIkPP/ywWvdImNpj4WCMqXciwpgxY+jUqdNpl73jjjtISEhg165ddV+YcbOLiI0xPlNQUMCyZcsYMGAAHTt2rHSZ+Ph4MjIyqn2PhKkd1nIwxviMiPD999+zePHiU16RJCIUFhaybZvdb1tfLByMMT4TEhLCxRdfzI8//njazumxY8fy61//2i5rrScWDsYYnzr33HOJjY0lJSWFgoKCKpe79tpr2bx5MytWrKjH6povCwdjjE+Vd04XFBSwcuXKKpe77rrraNOmjV3WWk8sHIwxPteuXTvGjRvHhRdeWOUyISEh3HrrrSxYsIAdO3bUY3XNk4WDMaZB6Nu3Lw6HA1Wtsl9h6tSp+Pv78/7779dzdc2PXcpqjGkwCgoKeP/99zn33HPp27evx/yOHTuyadMmunfv7oPqmhdrORhjGoyQkBCKi4v57LPPKCys/BH1PXr0QEROOS6TqbkGEQ4iEiYiO0Sku4i0FpGPRWSFiPxbRGzQd2OaiZM7p091VdKzzz7LeeedZwFRhxpEOACPAS1dPz8ALFDVXwFfA5N9VpUxpt516NCBAQMGsH79eg4cOFDpMm3btmXDhg18+umn9Vxd8+HzcBCRgUBrYJNr0jBgsevnxcBQX9RljPGdiy66iNDQUFavXl3p/PHjx9OhQwe7rLUO+TQcRCQAeBK476TJUcBx18+5rveVrTtZRNJEJC0zM7NuCzXG1KvQ0FCuu+46Lr/88krnBwUFMXXqVD799FO2bt1az9U1D75uOdwPvKOqh0+adgyIdP3cEjhS2YqqOkdVk1Q1KTo6uo7LNMbUt06dOhEcHExpaSknTpzwmH/rrbcSHBzM7NmzfVBd0+frS1kvAcpE5CagL/A2kA6MAt4CLgVSfVadMcanSkpKmDNnDmeddRaXXHJJhXnR0dG89NJLDBgwwEfVNW0+DQdVHVb+s4isBG4DDgNvichE4BAw0TfVGWN8LSAggNjYWL766iv69etHu3btKsy/6aabfFNYM+Dr00puqjpCVbeq6mFVvdT1/reqmufr2owxvnPRRRcREhJS5bDe6enpTJs2jdLSUh9U13Q1mHAwxpjKhIWFkZyczJ49e0hPT/eYv23bNmbPns2CBQt8UF3TZeFgjGnw+vXrR8eOHdm8ebPHvHHjxhEbG2uXtdYyCwdjTIPn5+fHtddeyzXXXOMxLyAggDvuuIOVK1eyadOmStY2Z8LCwRjTKERERODn50dBQQHHjx+vMG/SpEmEhYVZ66EWWTgYYxqNsrIyXnvtNT766KMKndOtWrVi2rRpdOrUyYfVNS2+vs/BGGOqzc/Pj/PPP59Fixbx7bffcs4557jnPfHEEz6srOmxloMxplHp378/HTp0YOnSpRQVFVWYV1ZWxtKlSykuLvZRdU2HhYMxplHx8/NjzJgx5OTkeAzMl5KSwqhRo/jwww99VF3TYeFgjGl0YmJi6Nu3L1lZWRX6HpKTk0lMTLSO6Vpg4WCMaZQuu+wyfvOb3yAi7ml+fn7ceeedrF27lq+++sqH1TV+Fg7GmEbJ398fgCNHjrBr1y739JtuuonIyEhrPdSQhYMxptFSVebPn8/8+fPdw3pHRkZy8803s3btWo8Oa1N9Fg7GmEZLRBg1ahTZ2dkVOqcfffRRtm7dSnBwsA+ra9wsHIwxjVrnzp3p06cPX375JYcPO58b1qJFCwIDAzlx4oRd1nqGLByMMY3eyJEjCQwMZMmSJe6rl/bs2UN8fDxz5871cXWNk4WDMabRi4iIIDk5mejoaMrKygBni6J169Y8++yzlT4HwpyahYMxpkkYOHAgo0aNcl/FJCJMmzaNr7/+mjVr1vi4usbHwsEY06Ts2rWL9evXA3D99de7Ww/GOxYOxpgmZePGjXz66accOXKEsLAwbrnlFubPn8/evXt9XVqjYuFgjGlSRo4cib+/v7tz+s4772TJkiXExMT4urRGxcLBGNOkREZGMmLECH744Qe+//57OnXqxMUXX1xhmA1zej4NBxEJEJE3RSRVRL4SkbEiEi8iKSKySkReEhF/X9ZojGl8zjvvPKKjo1myZAnFxcUUFRVxzz338M477/i6tEbD1y2HCUCuqg4FxgDPA08BT6rqcJz1jfNhfcaYRsjf359LL72UCy64AH9/f4KCgli5ciVPPvmkXdZaTb4Ohw+B6a6fy1x/DgKWuX5eDAyt76KMMY1fXFwcgwYNws/PDxHhrrvu4rvvvmPZsmWnX9n4NhxUNVdVs0QkEvgA+BMQqD9Hey4QVdm6IjJZRNJEJC0zM7OeKjbGNDbp6el89NFHXH311URGRnL55Zfj5+dnd0+fhq9bDohIJ5wthX+o6ttAsfzcc9QSOFLZeqo6R1WTVDUpOjq6nqo1xjQ2OTk5fP3117z11lsUFhZSUFCAqrJ7924mT57caANi7ty5xMfH11nQBdTq1rwkIh2ApcBdqlre1ksDhgGrgEuBj31UnjGmCRg0aBAbN24kIyPDo78hPz+fSZMm8d577xESEkJoaCjXXnsto0eP5siRI8yaNYuQkJAKryFDhtCtWzeys7NZv369x/z27dsTHh5OaWkpqkpAQO1/zM6dO5fJkyeTn58P4A46gAkTJtTKPnwaDsCDOE8b/VFE/uiadjswW0QCgC1YOBhjasDf358xY8bw9ttvM3jwYFatWlVhfmFhIfv376ewsJDCwkKGDRsGwKFDh5g5c6ZHoLzyyit069aNrVu3MnLkSI/9/fOf/+Saa65h1apVJCcn4+/vXyE83nrrLZKTk0lNTeWhhx6qMC84OJg//elPdO/enY0bN/Lhhx96hM+VV17J9OnT3cFQLj8/n+nTpzeNcFDVu4C7Kpl1UX3XYoxpuhISEti5cydDhw6lf//+tGjRgqysLFJSUsjOzmbDhg0e6/To0YPS0lJKSkrcwVFYWIjD4XDPX716dYV5hYWFnH/++QDEx8fz6KOPVphXVFRE27ZtAefYTyEhIRQWFnL8+HH3Mnl5eQBs3ryZJ554wj2QYLlBgwaxZ8+eSo+zqulnQprCZV1JSUmalpbm6zKMMQ3YCy+8wIEDByqc5ikuLqZTp05MmTLFh5Wd2i/DqW3btnTt2pXdu3d7LBsXF1fhkamnIyIbVDWpsnm+Pq1kjDH1ori42OP8f2BgILm5uezcuZPo6GgiIiIoKSkhJyeHgIAA/P39CQgIICAgAD8/31y/ExAQQEREBBEREe5pM2fO5JlnnmHo0KE4HA6ysrJITU3l7rvvrr391tqWjDGmAcvKyqp0en5+Pm+//TaXX345ffv25aeffuL111/3WO6qq66iZ8+e7Nq1i3nz5rlDozxELrnkEjp16sS+fftYt26dR7gMHDgQh8NBZmYmu3fvrrBuQEAAsbGxBAcHk5eXR15eXoXtBwQEEBgY6B4C5Nxzz2XcuHHu/pCWLVsybtw4zj333Fr7fVk4GGOahfJv2L8UHh7Ob37zG6KinLdUtWrViiuuuIKSkpIKr/K+gtDQUM4++2xKSkrcfRIlJSXulkVBQQH79++vsG5paSk9evTA4XCwZ88eFi1a5FHH7bffTnBwMJs2bWLp0qUe8++++25atGjB559/TkpKikdHuaqSkpJC7969a/y7AgsHY0wzkZyczIIFCyo8UzowMJBRo0YRHx/vnhYREUGfPn2q3E67du0YN67qUX0SExNJTEyscn6fPn3o1q2bR/iUd3R37dqVFi1aeMwPCQkBoG3btlUOAVJV6+hMWDgYY5qF8m/UKSkpZGVl4XA4SE5OrrVv2tVV3odQlaioKHcrpjKJiYlVtoLKA6Y2WDgYY5qN3r1713sY1IWqWkHJycm1tg8LB2OMaWTqoxVk4WCMMY1QXbeCfD7wnjHGmIbHwsEYY4wHCwdjjDEeLByMMcZ4sHAwxhjjwcLBGGOMBwsHY4wxHiwcjDHGeLBwMMYY48HCwRhjjAcLB2OMMR4sHIwxxnhosOEgIg+KyOeu1/m+rscYY5qTBjkqq4j0BMYAQ4BY4EMgyadFGWNMM9JQWw5DgU/VaTcQICItfF2UMcY0Fw2y5QBEAcdPep/rmpZdPkFEJgOTy+eLyPdnuK82wOEzXLehsWNpeJrKcYAdS0NVk2OJq2pGQw2HY8DJD0NtCRw5eQFVnQPMqemORCRNVZvEKSs7loanqRwH2LE0VHV1LA31tFIq8F8AIpIAFKtq9qlXMcYYU1saZMtBVTeLyAoRSQX8gSm+rskYY5qTBhkOAKr6GPBYPeyqxqemGhA7loanqRwH2LE0VHVyLKKqdbFdY4wxjVhD7XMwxhjjQxYOxhhjPDTrcGhKQ3SIyDARWe3rOmpCRAJE5E0RSRWRr0RkrK9rOlMi4icir4jIGtfx9PZ1TTUlImEiskNEuvu6lpoQkfUistL1esPX9ZwpEbnP9W/rGxGZVNvbb7Ad0nWtKQ3RISIPABOAfF/XUkMTgFxVHSoibYANwAIf13SmxgL+qjpERH4F/K9rWmP2GM57jhotEQkCAlR1hK9rqQkRGYhzJInhQATwQG3vozm3HJrSEB0/AON9XUQt+BCY7vq5zJeF1JSqfsTPd/DHA1/5rpqac30YtQY2+bqWGuoNhIvIZyKS0ojPGFwKbAX+76RXrWrO4VDVEB2Njqp+CBT7uo6aUtVcVc0SkUjgA+BPvq6pJlS1xHXaYha/uMO/MRGRAOBJ4D5f11ILCoG/4bzJdgrwD9fxNTYdgIHAVcBtwLsiIrW5g+YcDseAyJPeewzRYeqfiHQClgH/UNW3fV1PTanqRKArMF1EHKdbvoG6H3hHVZvCWETbgDddZwwycI5J1N7HNZ2JQmCxqha5jiMX5xhLtaY5h4MN0dHAiEgHYCkwXVVf9XU9NSEiN4jIg663+UAOjbdP6BLgJhFZCfQF3haRaN+WdMZuAp4D9xeRFsB+XxZ0hr4ERroufOiAs9+hVsO7MTanaoUN0dEgPYjz1N4fReSPrmmjVbXAhzWdqQ9xfoiuBgS4S1Ub5ak/VR1W/rMrIG5T1UzfVVQjbwJDRWQNoMBEVW2M/Vv/BgYAX7jeT9FavqPZ7pA2xhjjoTmfVjLGGFMFCwdjjDEeLByMMcZ4sHAwxhjjwcLBGGOMBwsHY4wxHiwcjDHGeLBwMKaOiEiyiLxTjeVeFZHL6qMmY6rLwsGYutMH2FiN5foBX9dxLcZ4xcLBGEBE4ssfliQi/UVERaSNiPiLSLrrQTcJIvKRiKS5HkbUzbV8pdNxhYOIBLseYvS/4tTV9RCgdBGZDrRX1X0i8hsRWet6eMsaEYkWkXNE5IuT6uwvIin1/gsyzY6FgzFOx3EOXgZwJ7AW50i9l+IcJbYYeBX4g6omAf8DPCgigZVNd23nXOAQ8CmwTFUfBoKA+a7lewOdcI7LD7BCVc9X1T7AZ8Bvge+As0TE37XM/6NpDJ1tGrhmO/CeMb+QDYS5nkDXAfgcaIXzgT1/AK4AegEfuobND8A5sm+l012hcRbwT+BWVf3StZ8rgDRVLX/4z7c4h18G58inVwPBOIeRflhVy0TkW6CXiCQCu1X1P3X0OzDGzcLBGMD1IazAJOA1oCfO00L+qpohIjfgHEr8tZPXE5HHq5h+LrAe59PTSk+a1Rvn40/LDQBWurZ/HnCRqua6TnF961pmLTAYmIpz+Gxj6pydVjLmZ2XAOJynfbKBe4CXXPN+AkaJiB+AiPR2PXmrqul9cA6nfA3whoi0c23nCHCOa9kBwLXANzhD4wtXMIwHLgTSXeusBR4H5qvqj3V18MaczMLBmJ8VA5+oagmu00zAQte813H+f9kiIl8DD7jGz69qeh9gs+spXQ8A/3adanoH6Ota9n6cfR3f4XzOwFQR+Qrn1Us7VDXPte+tQBHwVJ0evTEnsec5GNPAicjzwHpVfcvXtZjmw1oOxjRQItJFRLYCoRYMpr5Zy8EYY4wHazkYY4zxYOFgjDHGg4WDMcYYDxYOxhhjPFg4GGOM8WDhYIwxxoOFgzHGGA//H/3B+jQWnkO3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t0 = p.groupby('weekday').mean()[['C040','C060']]\n",
    "plt.plot(range(7),t0.C040,'o--',c='black',label=\"C040\")\n",
    "plt.plot(range(7),t0.C060,'o--',c='gray',label=\"C060\")\n",
    "plt.ylim(0,150)\n",
    "plt.xlabel(\"$weekday$\")\n",
    "plt.ylabel(\"$power\\quad load$\")\n",
    "plt.legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
